Clustering-based methodology for determining optimal roadway configuration of detectors for travel time estimation

Bekir Bartin, Kaan Ozbay, Cem Iyigun

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The problem of finding the optimal roadway segment configuration for road-based surveillance technologies to estimate route travel times accurately is addressed. This problem is inherently a space discretization problem regardless of which travel time estimation function is used. Its ad hoc solution is the equidistant segment configuration, such as every half mile or every 1 mi. It is shown that the space discretization problem can be expressed as the common clustering problem. The novelty of the proposed approach is the use of preliminary vehicle trajectory data to obtain statistically significant traffic regime at the study route. Clustering of sample space-time trajectory data is proposed as a viable methodology for solving the optimal roadway segment configuration problem.

Original languageEnglish (US)
Title of host publicationIntelligent Transportation Systems and Vehicle-Highway Automation 2007
Pages98-105
Number of pages8
Edition2000
DOIs
StatePublished - Dec 1 2007

Publication series

NameTransportation Research Record
Number2000
ISSN (Print)0361-1981

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ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Mechanical Engineering

Cite this

Bartin, B., Ozbay, K., & Iyigun, C. (2007). Clustering-based methodology for determining optimal roadway configuration of detectors for travel time estimation. In Intelligent Transportation Systems and Vehicle-Highway Automation 2007 (2000 ed., pp. 98-105). (Transportation Research Record; No. 2000). https://doi.org/10.3141/2000-12